Shigetaka Sugihara

2.9k total citations
83 papers, 2.3k citations indexed

About

Shigetaka Sugihara is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Shigetaka Sugihara has authored 83 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 22 papers in Endocrinology, Diabetes and Metabolism and 20 papers in Surgery. Recurrent topics in Shigetaka Sugihara's work include Diabetes and associated disorders (19 papers), Pancreatic function and diabetes (14 papers) and Diabetes Management and Research (9 papers). Shigetaka Sugihara is often cited by papers focused on Diabetes and associated disorders (19 papers), Pancreatic function and diabetes (14 papers) and Diabetes Management and Research (9 papers). Shigetaka Sugihara collaborates with scholars based in Japan, United States and United Kingdom. Shigetaka Sugihara's co-authors include Masamichi Kojiro, Masaaki Arakawa, Toshiro Nakashima, Masahiro Suenaga, Osamu Nakashima, H Fujiwara, Hisafumi Matsuoka, Masayoshi Kage, Kunio Okuda and Katsuhiro Okuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Shigetaka Sugihara

76 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shigetaka Sugihara Japan 23 594 509 486 421 390 83 2.3k
Hirohiko Yamabe Japan 34 403 0.7× 380 0.7× 906 1.9× 155 0.4× 297 0.8× 105 3.6k
Luis A. Fernandez United States 37 1.2k 2.0× 608 1.2× 3.1k 6.3× 536 1.3× 374 1.0× 101 4.4k
Richard S. Stubbs New Zealand 26 341 0.6× 174 0.3× 944 1.9× 93 0.2× 153 0.4× 55 2.1k
Eun‐Soon Shin South Korea 31 117 0.2× 314 0.6× 253 0.5× 268 0.6× 365 0.9× 101 2.7k
Yu Katayose Japan 30 153 0.3× 336 0.7× 1.3k 2.7× 206 0.5× 257 0.7× 148 2.9k
Nora Jaskowiak United States 20 104 0.2× 500 1.0× 545 1.1× 252 0.6× 79 0.2× 43 2.7k
Carolyn D. Scott Australia 25 164 0.3× 169 0.3× 323 0.7× 346 0.8× 73 0.2× 54 2.0k
Jacek Szechiński Poland 20 91 0.2× 216 0.4× 199 0.4× 194 0.5× 1.5k 3.8× 58 5.0k
Alessia Omenetti United States 35 1.8k 3.1× 1.8k 3.5× 1.1k 2.2× 473 1.1× 417 1.1× 58 4.3k
Thomas Lorf Germany 19 996 1.7× 403 0.8× 1.2k 2.5× 161 0.4× 204 0.5× 55 2.0k

Countries citing papers authored by Shigetaka Sugihara

Since Specialization
Citations

This map shows the geographic impact of Shigetaka Sugihara's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shigetaka Sugihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigetaka Sugihara more than expected).

Fields of papers citing papers by Shigetaka Sugihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shigetaka Sugihara. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shigetaka Sugihara. The network helps show where Shigetaka Sugihara may publish in the future.

Co-authorship network of co-authors of Shigetaka Sugihara

This figure shows the co-authorship network connecting the top 25 collaborators of Shigetaka Sugihara. A scholar is included among the top collaborators of Shigetaka Sugihara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shigetaka Sugihara. Shigetaka Sugihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Ishii, Tomohiro, Masanori Adachi, Kei Takasawa, et al.. (2018). Incidence and Characteristics of Adrenal Crisis in Children Younger than 7 Years with 21-Hydroxylase Deficiency: A Nationwide Survey in Japan. Hormone Research in Paediatrics. 89(3). 166–171. 14 indexed citations
3.
Sato, Hirokazu, Nozomu Sasaki, Kanshi Minamitani, et al.. (2012). Higher dose of methimazole causes frequent adverse effects in the management of Graves’ disease in children and adolescents. Journal of Pediatric Endocrinology and Metabolism. 25(9-10). 863–7. 14 indexed citations
4.
Okada, Tomoo, et al.. (2010). Impact of leptin and leptin‐receptor gene polymorphisms on serum lipids in Japanese obese children. Acta Paediatrica. 99(8). 1213–1217. 28 indexed citations
5.
Matsuoka, Hisafumi, et al.. (2005). Short-Term Secretory Regulation of Ghrelin during Growth Hormone Provocative Tests in Prepubertal Children with Various Growth Hormone Secretory Capacities. Hormone Research in Paediatrics. 64(6). 274–279. 11 indexed citations
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Matsuoka, Hisafumi, et al.. (2002). Impact of Polymorphisms of Human .BETA.-Adrenergic Receptor Gene on Changes in Height during Growth Hormone Treatment.. Endocrine Journal. 49(1). 21–28. 3 indexed citations
8.
Sugihara, Shigetaka, et al.. (1997). Association of HLA-DR, DQ genotype with different beta-cell functions at IDDM diagnosis in Japanese children. Diabetes. 46(11). 1893–1897. 14 indexed citations
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Nakashima, Osamu, Shigetaka Sugihara, Masamichi Kojiro, et al.. (1991). Pathomorphologic study on hepatocellular carcinoma showing hyperechoic pattern.. Kanzo. 32(6). 618–624. 7 indexed citations
11.
Sugihara, Shigetaka, et al.. (1990). Pathomorphologic study on macrophages in hepatocellular carcinoma.. Kanzo. 31(1). 12–18. 10 indexed citations
12.
Kosaka, Hiroshi, Shinji Sogo, Seiji Maruo, et al.. (1990). T cell clones are killed by a thymic stromal cell monolayer following stamulation of T cell receptor with antigen and/or H-2 molecules on the monolayer. International Immunology. 2(8). 755–763. 3 indexed citations
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Seki, Nobuo, Yuji Sudo, Tatsunobu Yoshioka, et al.. (1988). Type II collagen-induced murine arthritis. I. Induction and perpetuation of arthritis require synergy between humoral and cell-mediated immunity.. The Journal of Immunology. 140(5). 1477–1484. 231 indexed citations
15.
Tajima, Koji, Jun‐ichiro Miyagawa, Masashi Shimizu, et al.. (1988). Release of 3,5,3′-triiodothyronine, thyroxine and thyroglobulin from TSH-stimulated mouse thyroids in the perifusion system. Cellular and Molecular Life Sciences. 44(9). 766–768. 5 indexed citations
16.
Nakajima, Hiroto, et al.. (1987). Studies on macrophage-activating factor (MAF) in antitumor immune responses. Cancer Immunology Immunotherapy. 25(3). 201–8. 7 indexed citations
17.
Arakawa, Masaaki, Masayoshi Kage, Shigetaka Sugihara, et al.. (1986). Emergence of Malignant Lesions Within an Adenomatous Hyperplastic Nodule in a Cirrhotic Liver. Gastroenterology. 91(1). 198–208. 198 indexed citations
18.
Saitsu, Hirotomo, Kouji Yoshida, Mitsuharu Sato, et al.. (1986). Confirmation of the presence of lymph channels in hepatoma nodes for use in the treatment of hepatocellular carcinoma.. Kanzo. 27(9). 1296–1302. 1 indexed citations
19.
Sugihara, Shigetaka, Masamichi Kojiro, Toshiro Nakashima, Hirotomo Saitsu, & Toshimichi Nakayama. (1986). Pathomorphological study on hepatocellular carcinoma - A study of the developmental process of hepatocellular carcinoma in resected cases.. Kanzo. 27(5). 607–614. 2 indexed citations
20.
Sugihara, Shigetaka, et al.. (1966). EFFECT OF RIBOFLAVIN DEFICIENCY ON RAT ELECTRORETINOGRAM. THE JOURNAL OF VITAMINOLOGY. 12(4). 281–285. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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